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subagent-development

Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.

DeepseekModel キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=aiskillstore-marketplace-skills-dmjgilbert-subagent-development-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name subagent-development description Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation. Subagent-Driven Development Fresh subagent per task + review between tasks = high quality, fast iteration. When to Use Executing implementation plans in current session Tasks are largely independent Want continuous progress with quality gates Need isolation between task contexts When NOT to Use Plan needs initial review/revision Tasks have tight sequential dependencies Simple changes that don't need isolation The Process 1. Load Plan & Create Tasks 1. Read the plan document 2. Create TodoWrite with all tasks 3. Verify plan is sound before starting 2. For Each Task Dispatch Implementation Subagent: Task([appropriate-agent], prompt=" Implement Task N from the plan: **Task:** [Task description] **Requirements:** - Follow TDD (write failing test first) - Implement minimal code to pass - Verify all tests pass - Commit with descriptive message **Output:** - What was implemented - Test results - Any issues encountered ") 3. Code Review Checkpoint After EACH task, dispatch reviewer: Task(code-reviewer, prompt=" Review implementation of Task N: **What was implemented:** [From subagent output] **Commits:** [Range] **Requirements:** [From plan] Evaluate: - Implementation vs requirements match - Code quality and patterns - Test coverage - Critical/Important/Minor issues ") 4. Address Feedback Severity Action Critical Fix immediately, re-review High Fix before next task Medium Fix if quick, else document Low Document for later 5. Mark & Continue Update TodoWrite to mark task complete Proceed to next task Repeat cycle 6. Final Review After all tasks complete: Task(code-reviewer, prompt=" Final review of complete implementation: **Plan:** [Reference] **All commits:** [Full range] Verify: - Complete plan compliance - Architectural soundness - No regressions - Ready for merge ") 7. Finish Transition to merge/PR workflow. Critical Rules Never: Skip code reviews between tasks Proceed with unresolved Critical issues Run multiple implementation subagents in parallel Implement without plan task reference Always: Fresh subagent for each task (clean context) Review after each task (quality gate) Fix Critical/High before continuing Document deferred issues Quality Gate Template ## Task N Review **Status:** [Pass/Fail] ### Critical Issues [None / List] ### High Priority [None / List] ### Medium Priority [None / List] ### Minor/Suggestions [None / List] ### Verdict - [ ] Proceed to next task - [ ] Fix issues first - [ ] Needs discussion Benefits Clean context for each task (no accumulated confusion) Built-in quality gates catch issues early Reviewable progress at each step Easy to pause/resume at task boundaries
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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